Conference Paper

A Multi-Agent System Approach for Algorithm Parameter Tuning.

DOI: 10.1007/978-3-642-00487-2_15 Conference: 7th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2009, Salamanca, Spain, 25-27 March 2009
Source: DBLP


The parameter setting of an algorithm that will result in optimal performance is a tedious task for users who spend a lot
of time fine-tuning algorithms for their specific problem domains. This paper presents a multi-agent tuning system as a framework to set the parameters of a given algorithm which solves a specific problem. Besides, such a configuration
is generated taking into account the current problem instance to be solved. We empirically evaluate our multi-agent tuning system using the configuration of a genetic algorithm applied to the root identification problem. The experimental results show
the validity of the proposed model.

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